IDEAS home Printed from https://ideas.repec.org/a/khe/scajes/v5y2019i4p126-131.html
   My bibliography  Save this article

Risk and Uncertainty in Information Society

Author

Listed:
  • Florentina Raluca Bilcan
  • Ionut Adrian Ghibanu
  • Ion Ionut Bratu
  • George Adrian Bilcan

Abstract

Uncertainty and risk can be found anywhere, combined in different proportions, so that for any assumed conscious process that takes place in any field of activity, uncertainty cannot be eliminated. This article presents a series of general and specific problems that organizations in the current economic context may face in carrying out their activity, then finding solutions to optimize this activity through the risk minimization models. The results show that a number of tools and models that are currently being applied with great success in organizations have a potential that is still undesirable and could contribute to a greater extent to improving their performance and sustainability.

Suggested Citation

  • Florentina Raluca Bilcan & Ionut Adrian Ghibanu & Ion Ionut Bratu & George Adrian Bilcan, 2019. "Risk and Uncertainty in Information Society," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(4), pages 126-131, December.
  • Handle: RePEc:khe:scajes:v:5:y:2019:i:4:p:126-131
    as

    Download full text from publisher

    File URL: http://www.ajes.ro/wp-content/uploads/AJES_article_1_297.pdf
    Download Restriction: no

    File URL: http://www.ajes.ro/wp-content/uploads/AJES_article_1_297.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mark Skilton & Felix Hovsepian, 2018. "The 4th Industrial Revolution," Springer Books, Springer, number 978-3-319-62479-2, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stanislav Ivanov, 2020. "The impact of automation on tourism and hospitality jobs," Information Technology & Tourism, Springer, vol. 22(2), pages 205-215, June.
    2. Jie Zeng & Jianbu Yang, 2024. "English language hegemony: retrospect and prospect," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    3. Gabriela Andrisan & Andra Modreanu, 2022. "Achieving Business Success in the Fourth Industrial Revolution: The Case of Procter & Gamble," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 482-490, September.
    4. Chujie Tian & Jian Ma & Chunhong Zhang & Panpan Zhan, 2018. "A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network," Energies, MDPI, vol. 11(12), pages 1-13, December.
    5. Adrian Nicolau, 2021. "Artificial Intelligence in Business: Present and Perspectives," Romanian Journal of Economics, Institute of National Economy, vol. 52(1(61)), pages 93-101, June.
    6. Zeng, Hongjun & Abedin, Mohammad Zoynul & Zhou, Xiangjing & Lu, Ran, 2024. "Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices," International Review of Financial Analysis, Elsevier, vol. 92(C).
    7. Michal Mizerák, 2019. "Comparison of Transitional Theories to Post-Scarcity in Science-Fiction Literature," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 5(1), pages 107-123.
    8. Vasile MAZILESCU, 2021. "Tourism Industry must benefit from IT&C Hyperautomation," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 97-106.
    9. Ping-Huan Kuo & Chiou-Jye Huang, 2018. "A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting," Energies, MDPI, vol. 11(1), pages 1-13, January.

    More about this item

    Keywords

    Information society; risk; uncertainty; probability; confidentiality;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:khe:scajes:v:5:y:2019:i:4:p:126-131. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adi Sava (email available below). General contact details of provider: https://edirc.repec.org/data/ffucdro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.